CV
Basics
| Name | Eman Maali |
| Label | Research Fellow |
| e.maali19@imperial.ac.uk | |
| Website | https://www.linkedin.com/in/emanmaali/ |
Work
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2025 - Present Research Fellow
Imperial College London, Department of Computing (Computational Privacy Group)
Research on the robustness of machine learning systems, including privacy attacks against ML models and data releases, LLM fingerprinting, and adversarial robustness of multi-agent AI pipelines.
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2022 - Present Graduate Teaching Assistant
Imperial College London, Department of Computing
Demonstrated practical sessions in network and web security and advanced software engineering laboratories. Assisted teams during group assessment projects, answering their project-related questions and supporting them in solving errors.
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2017 - 2019 Lecturer
Birzeit University, Electrical and Computer Engineering Department
Identified syllabi that clearly outline the course requirements, rationale, goals, and objectives. Organised textbooks and other resources for the class. Monitored course Laboratories such as Computer Networks, Linux and Microprocessor.
Education
Awards
- 2026
Associate Fellow of the Higher Education Academy (AFHEA)
Advance HE, UK
Professional recognition of teaching and learning support practice in higher education.
- 2023
Imperial Global Fellows Fund
Imperial College London
Research placement at Cornell Tech, grant amount £2,469.74, covering living and research expenses.
- 2019
Faculty for the Future PhD Fellowship
Schlumberger Foundation
PhD degree at Imperial College London, grant amount $250K, covering tuition fees, living, and research expenses.
- 2016–2017
Hani Qaddumi Scholarship Foundation (HQSF) for Master's Studies
Hani Qaddumi Foundation
Master's degree at the University of Birmingham, grant amount £30K, covering tuition fees, living, and research expenses.
Skills
| Technical and Software Skills | |
| Programming Languages: Python (Pandas, NumPy, Scikit‑learn, etc), Java, C. | |
| Embedded Systems Programming: Arduino, Raspberry Pi, and ESP32/ESP8266. | |
| Machine Learning Frameworks: AutoML, TensorFlow, Keras, PyTorch. | |
| Miscellaneous: Linux, Shell (Bash), LaTeX (Overleaf), Microsoft Office, Git, Docker. | |
| Network Traffic Analysers: Wireshark, tcpdump, tshark, Cisco JOY, YAF (Yet Another Flowmeter). | |
| Penetration Testing and Ethical Hacking: Kali Linux, Nmap. |
Languages
| Arabic | |
| Native speaker |
| English | |
| Professional proficiency |
| French | |
| Beginner |
| Spanish | |
| Beginner |
Interests
| Research Interests | |
| Adversarial Evaluation | |
| Agentic AI | |
| Robustness of ML Systems | |
| IoT Security |